Skip to main content

flexorch-mcp

smithery badge PyPI version CI License: MIT Python 3.10+

MCP server for FlexOrch — SDK for machines.

Connect Claude and other MCP-compatible agents to the FlexOrch document intelligence pipeline. Process documents, extract structured data, detect PII, and export LLM-ready datasets — all through natural language tool calls.


What this is

flexorch-mcp is a thin proxy that exposes the FlexOrch API as MCP tools. All processing happens on FlexOrch's managed infrastructure. A FlexOrch account and API key are required.

For humans writing code: use flexorch-sdk (Python) or flexorch-sdk-js (TypeScript).
For agents: use this package.


Tools

Tool Description
process_document Upload and process a document (PDF, DOCX, TXT, XLSX, HTML, XML, EML, JPG, PNG, TIFF)
get_job_status Poll a processing job until completed or failed
get_extraction_result Get structured extracted fields from a completed job
build_dataset Build a structured dataset from a completed execution
search_documents Semantic search across indexed datasets (Pro+)
export_dataset Export a dataset as JSONL, CSV, JSON, XML, MD, or RAG (LangChain/LlamaIndex chunks)

Installation

pip install flexorch-mcp

Requires Python 3.10+.


Configuration

Claude Desktop

Add to ~/.claude/claude_desktop_config.json:

{
  "mcpServers": {
    "flexorch": {
      "command": "flexorch-mcp",
      "env": {
        "FLEXORCH_API_KEY": "dfx_your_key_here"
      }
    }
  }
}

Cursor

Add to your Cursor MCP config:

{
  "flexorch": {
    "command": "flexorch-mcp",
    "env": {
      "FLEXORCH_API_KEY": "dfx_your_key_here"
    }
  }
}

Get your API key from app.flexorch.com/settings.


Verify connection

flexorch-mcp --check
# → FlexOrch API key: dfx_xxx*** ✓
# → Connection: OK (api.flexorch.com)
# → Plan: Starter (1,200 credits/mo)
# → Tools: 6 registered

Example agent workflow

User: "Process this invoice and export it as JSONL for fine-tuning."

Agent:
  1. process_document(file_url="https://...")   → job_id: 1234
  2. get_job_status(1234)                        → completed, execution_id: 567
  3. get_extraction_result(567)                  → vendor, total, date, PII masked
  4. build_dataset(execution_id=567)             → job_id: 1235
  5. get_job_status(1235)                        → completed, dataset_id: 89
  6. export_dataset(89, format="jsonl")          → inline JSONL content

Plan limits

All FlexOrch plan limits apply to MCP tool calls. Credits are consumed per document processed.

Plan Credits/mo Semantic search
Trial 1,200 (30 days)
Starter 1,200
Pro 6,000
Enterprise Custom

Security

  • API key is read from the FLEXORCH_API_KEY environment variable — never passed as a tool argument
  • No data is stored or cached by this server — stateless proxy
  • PII masking is applied by FlexOrch's pipeline before results are returned
  • All communication with api.flexorch.com uses HTTPS

Related


License

MIT — see LICENSE.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

flexorch_mcp-0.1.4.tar.gz (19.8 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

flexorch_mcp-0.1.4-py3-none-any.whl (19.3 kB view details)

Uploaded Python 3

File details

Details for the file flexorch_mcp-0.1.4.tar.gz.

File metadata

  • Download URL: flexorch_mcp-0.1.4.tar.gz
  • Upload date:
  • Size: 19.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for flexorch_mcp-0.1.4.tar.gz
Algorithm Hash digest
SHA256 32c2a8e7c012662722e7fc270bda11c741ca4862e7cdaa55bbca634d806e6437
MD5 b0a56d305131be4f59dcee161d272da6
BLAKE2b-256 48c7687c592a862274156a03f5c675f502947dc4b7714e46a63201495f525f0d

See more details on using hashes here.

File details

Details for the file flexorch_mcp-0.1.4-py3-none-any.whl.

File metadata

  • Download URL: flexorch_mcp-0.1.4-py3-none-any.whl
  • Upload date:
  • Size: 19.3 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/6.2.0 CPython/3.14.2

File hashes

Hashes for flexorch_mcp-0.1.4-py3-none-any.whl
Algorithm Hash digest
SHA256 e6d249ef9da6f29cb0c13796c2b01a9f280ab5221059b76cdc592e5aecc6f7b3
MD5 f256f8dbf7e3f4500ebc4d1c281ed5ed
BLAKE2b-256 f15c0e7a7db1c82f4ac7d8e12441fed95f988e5cd33559d91d311e37d5001475

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page